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Patrick SONDI a, Lucas RIVOIRARD b, Martine WAHL b
a Univ. Littoral Côte d‘Opale, LISIC - EA 4491, F-62228 Calais, France
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Performance Evaluation of Vehicle-to-Vehicle Communications for a Collective Perception Application in Vehicular Ad hoc Networks

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Performance Evaluation of Vehicle-to-Vehicle Communications for a Collective Perception Application in Vehicular Ad hoc Networks

  1. 1. Patrick SONDI a, Lucas RIVOIRARD b, Martine WAHL b a Univ. Littoral Côte d‘Opale, LISIC - EA 4491, F-62228 Calais, France b Univ Lille Nord de France, F-59000 Lille, IFSTTAR, COSYS, LEOST, F-59650 Villeneuve d’Ascq Vehicle to vehicule - V2V DECENTRALIZED http://www.digitaltrends.com/ http:// motorvehicleregs.com/ • Lowcostdeployment, integrated inthevehicle • Cooperative ad hoc networks • Distributed coordination of network functions • Expensive deployment for road managers • What happens if a terminal fails? MULTIPOINT RELAY Features: • Routing protocol for VANETs • One-hop Clusters • Proactive distributed algorithm Leaf node : an ordinary node that links to the nearest branch node. Branch node : a relay node responsible of a group of leaf nodes. Elected by other nodes to forward application messages and build a chain. A chain: a virtual backbone consisting of a set of relay nodes. ROAD NETWORK CLUSTERING CBL Components Objective: to offer, via V2V communication, a routing service enabling communications between close and distant vehicles. Objective: performance of the CBL scheme with perception application Road Context: • 10-km A27 highway section (2x2 lanes) • 4-km D90 by-way (2x1 lane) patrick.sondi@univ-littoral.fr lucas.rivoirard@ifsttar.fr martine.wahl@ifsttar.fr Future work • Evaluation of CBL on other ITS applciations in VANETs • A new CBL version which increases the connection time between the leaf nodes and their elected branch node Conclusion - performance The results show how to fix the frequency of the exchanges in the collective perception application in order to achieve both predefined packet delivery ratio and end-to-end delay at WLAN and IP levels. Vehicle to infrastructure - V2 CENTRALIZED CBL (Chain Branch Leaf) Technology Context: • IEEE 802.11p • OPNET Riverbed Modeler Vehicular communication technologies A27 RD90 Performance Evaluation of Vehicle-to-Vehicle Communications for a Collective Perception Application in Vehicular Ad hoc Networks #1570473915 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) • Traffic density recorded on the A27 on April 6th, 2017, 12:35 p.m. Comparative evaluation CBL results • With its own sensors (radar, lidar, camera) the perception of the autonomous car is limited to 200 meters • Exchange information allows to build a Local Dynamic Map with 1km-perception Collective percetion application Description for static and mobile object Ssize (octect) Static Mobile Position 4 ✓ ✓ Time 8 ✓ ✓ Heading 2 ✗ ✓ Speed 2 ✗ ✓ Acceleration 2 ✗ ✓ Size 6 ✓ ✓ Packet delivery ratio End-to-end WLAN delay End-to-end IP delay • PDR increases when the waiting interval between two packet increases. • PDR is still above 88%. • PDR is 91% when the waiting interval is greater than 350 ms. • The end-to-end delay observed at the WLAN level suggests that real-time transmission of one PEM every 50 ms may be achieved with a very low delay of 0.5 ms. • IP delays are always less than 600 ms and they increase when the time interval is decreasing. • Sending EPM message every 175 ms insure that these message are received before sending a new packet Hendrik-jorn Gunther, Oliver Trauer, and Lars Wolf. The potential of collective perception in vehicular ad-hoc networks, ITS Telecommunications (ITST), 2015* Source*

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